Bridge Design and Reality
A building doesn’t end at construction. A factory doesn’t stop evolving after commissioning. A facility lives, breathes, changes—and the systems that manage it should understand it as deeply as the systems that designed it.
Digital twins close the loop between what was designed and what exists. Between the model and the reality. Between intention and operation.
The Disconnect
Today, design and operations live in separate worlds:
Design phase: Rich 3D models. Detailed specifications. BIM data. Engineering intent captured precisely.
Handover: PDFs. Spreadsheets. Flattened data. Knowledge lost.
Operations: Separate systems. Siloed data. Operators who never saw the design. Maintenance teams working from paper.
The model that took years to create becomes a static archive the moment the building opens.
Meanwhile:
- Sensors generate data no one connects to the design
- Equipment fails without warning
- Energy is wasted because systems don’t understand the space
- Renovations start from scratch because the as-built is wrong
The 3D intelligence that existed in design vanishes at handover.
What We Enable
Living Models
Your digital twin isn’t a frozen snapshot. It’s a living system.
Continuous synchronization:
- Design changes flow to the operational twin
- As-built updates reflect back to the model
- Sensor data streams into spatial context
- The twin evolves with the facility
NATS JetStream at the core. Event-driven architecture that handles:
- Thousands of sensor streams
- Real-time state updates
- Historical playback
- Distributed deployment across sites
Spatial IoT
Sensors without context are just numbers. A temperature reading means nothing until you know where.
Connect IoT to 3D:
- Sensors positioned in the model, not a spreadsheet
- Data visualized in spatial context
- Relationships between systems visible
- “The HVAC serving the east wing” not “sensor ID 47832”
Device management from the design environment:
- Commission sensors against the model
- Monitor status spatially
- Identify coverage gaps visually
- Manage thousands of devices at scale
Predictive Maintenance
React less. Predict more.
AI that understands your facility can anticipate failures:
- Pattern recognition — Anomalies detected before they become failures
- Spatial correlation — Problems in one system affecting another
- Historical learning — Your facility’s specific behavior, not generic models
- Maintenance optimization — Fix things when it’s convenient, not when they break
From breakdown maintenance to predictive. From reactive to proactive.
Energy & Performance
Buildings consume 40% of global energy. Most of it is wasted.
Digital twins that understand space can optimize it:
- HVAC optimization — Conditioning based on actual occupancy and usage
- Lighting intelligence — Daylight harvesting, presence detection, scheduling
- Load balancing — Distribute demand, reduce peaks
- Simulation — Test changes before implementing
Sustainability through spatial intelligence.
What-If Analysis
Before you change the building, change the twin.
- Renovation planning — Model changes, predict impacts
- Capacity analysis — Can this space handle the new use?
- Emergency simulation — Evacuation, fire spread, system failures
- Future-proofing — How will climate change affect this facility in 20 years?
Test scenarios in simulation. Implement with confidence.
Open Standards
Your facility data shouldn’t be locked in a vendor’s platform.
- IFC (ISO 16739) — Full Building Information Modeling semantics. Spaces, systems, relationships, properties. Not just geometry—meaning.
- STEP (ISO 10303) — Precision geometry when you need it.
- Open APIs — Connect to your existing BMS, CMMS, ERP. We integrate, not replace.
Your building. Your data. Your choice of systems.
The Full Lifecycle
Digital twins connect every phase:
Design → Construction → Handover → Operations → Renovation
↑ │ │
└────────────────────────────────────────────────────────┴────────────────┘
Continuous feedback loop
No more information loss at handover. No more starting from scratch. The model that was designed becomes the model that operates becomes the model that improves.
Use Cases
Commercial Buildings
Offices, retail, mixed-use. Thousands of sensors, millions of square feet.
- Occupancy optimization
- Tenant comfort management
- Energy performance tracking
- Maintenance coordination
Industrial Facilities
Factories, plants, warehouses. Where uptime is everything.
- Production system monitoring
- Predictive maintenance at scale
- Process optimization
- Safety system integration
Critical Infrastructure
Hospitals, data centers, airports. Where failure isn’t an option.
- Redundancy monitoring
- Compliance tracking
- Emergency response planning
- 24/7 operational awareness
Campuses & Portfolios
Multiple buildings, unified management.
- Cross-facility benchmarking
- Centralized monitoring
- Standardized operations
- Portfolio-wide optimization
Proven at Scale
This isn’t theory. We’ve done this work.
Our approach to facility management is built on real-world experience—including AI-powered facility management systems developed with Bilfinger, one of Germany’s leading engineering and services companies.
Enterprise-scale. Mission-critical. Operational.
25 years of building real-time systems for global enterprises. Now applied to the built environment.
For Facility Owners
Your building is your biggest asset. Manage it like one.
- Extend equipment life through predictive maintenance
- Reduce energy costs with spatial optimization
- Improve occupant experience with responsive systems
- Protect your investment with living documentation
ROI measured in years of extended life, millions in avoided costs.
For Operators
Move from reactive to proactive.
- See your facility in 3D, not spreadsheets
- Understand relationships between systems
- Catch problems before they become emergencies
- Work smarter with AI assistance
Operations transformed by spatial intelligence.
For Engineering Firms
Deliver more than a building. Deliver a living system.
- Differentiate with digital twin handover
- Ongoing relationship beyond construction
- Performance guarantees backed by data
- New service revenue streams
From one-time projects to ongoing partnerships.
The Architecture
Built for scale. Built for reality.
| Layer | Technology | Purpose |
|---|---|---|
| Messaging | NATS JetStream | Real-time event streaming at scale |
| Sync | Automerge CRDT | Distributed updates, offline capability |
| Geometry | IFC/STEP | Open standard spatial data |
| AI | Model Context Protocol | Intelligent facility reasoning |
| Integration | Open APIs | Connect existing systems |
Event-driven. Distributed. Resilient. Open.
Complete the Loop with Publish
Digital twins generate insights—but insights need to reach people.
- Operations reports — Energy performance, maintenance schedules, compliance status
- Inspection forms — Checklists generated from the model, captured back digitally or on paper
- Tenant communications — Space utilization, service schedules, building updates
- Regulatory filings — Compliance documentation with data from sensors
All from single source. All connected to your living facility model.
Get Started
Your facility generates data constantly. Your design holds spatial intelligence. Connect them.
Whether you’re building new, retrofitting existing, or managing portfolios—the twin is ready.